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Journal articles on the topic 'Integrated rainfall-runoff-inundation model'

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1

Pappenberger, F., K. J. Beven, N. M. Hunter, et al. "Cascading model uncertainty from medium range weather forecasts (10 days) through a rainfall-runoff model to flood inundation predictions within the European Flood Forecasting System (EFFS)." Hydrology and Earth System Sciences 9, no. 4 (2005): 381–93. http://dx.doi.org/10.5194/hess-9-381-2005.

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Abstract. The political pressure on the scientific community to provide medium to long term flood forecasts has increased in the light of recent flooding events in Europe. Such demands can be met by a system consisting of three different model components (weather forecast, rainfall-runoff forecast and flood inundation forecast) which are all liable to considerable uncertainty in the input, output and model parameters. Thus, an understanding of cascaded uncertainties is a necessary requirement to provide robust predictions. In this paper, 10-day ahead rainfall forecasts, consisting of one deter
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2

Lee, Jung Hwan, Gi Moon Yuk, Hyeon Tae Moon, and Young-Il Moon. "Integrated Flood Forecasting and Warning System against Flash Rainfall in the Small-Scaled Urban Stream." Atmosphere 11, no. 9 (2020): 971. http://dx.doi.org/10.3390/atmos11090971.

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The flood forecasting and warning system enable an advanced warning of flash floods and inundation depths for disseminating alarms in urban areas. Therefore, in this study, we developed an integrated flood forecasting and warning system combined inland-river that systematized technology to quantify flood risk and flood forecasting in urban areas. LSTM was used to predict the stream depth in the short-term inundation prediction. Moreover, rainfall prediction by radar data, a rainfall-runoff model combined inland-river by coupled SWMM and HEC-RAS, automatic simplification module of drainage netw
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Chen, Wenjie, Guoru Huang, and Han Zhang. "Urban stormwater inundation simulation based on SWMM and diffusive overland-flow model." Water Science and Technology 76, no. 12 (2017): 3392–403. http://dx.doi.org/10.2166/wst.2017.504.

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Abstract With rapid urbanization, inundation-induced property losses have become more and more severe. Urban inundation modeling is an effective way to reduce these losses. This paper introduces a simplified urban stormwater inundation simulation model based on the United States Environmental Protection Agency Storm Water Management Model (SWMM) and a geographic information system (GIS)-based diffusive overland-flow model. SWMM is applied for computation of flows in storm sewer systems and flooding flows at junctions, while the GIS-based diffusive overland-flow model simulates surface runoff a
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4

Tam, Abd Rahman, Harun, Hanapi, and Kaoje. "Application of Satellite Rainfall Products for Flood Inundation Modelling in Kelantan River Basin, Malaysia." Hydrology 6, no. 4 (2019): 95. http://dx.doi.org/10.3390/hydrology6040095.

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The advent of satellite rainfall products can provide a solution to the scarcity of observed rainfall data. The present study aims to evaluate the performance of high spatial-temporal resolution satellite rainfall products (SRPs) and rain gauge data in hydrological modelling and flood inundation mapping. Four SRPs, Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (GPM) - Early, - Late (IMERG-E, IMERG-L), Global Satellite Mapping of Precipitation-Near Real Time (GSMaP-NRT), and Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-
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Asghar, Malik Rizwan, Tomoki Ushiyama, Muhammad Riaz, and Mamoru Miyamoto. "Flood and Inundation Forecasting in the Sparsely Gauged Transboundary Chenab River Basin Using Satellite Rain and Coupling Meteorological and Hydrological Models." Journal of Hydrometeorology 20, no. 12 (2019): 2315–30. http://dx.doi.org/10.1175/jhm-d-18-0226.1.

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Abstract Flood forecasting in a transboundary river basin is challenging due to insufficient data sharing between countries in the upper and lower reaches of a basin. A solution is the use of satellite-observed rainfall and numerical weather prediction (NWP) for hydrological forecasting. We applied this method to the transboundary sparsely gauged Chenab River basin in Pakistan and India to reproduce the exceptionally high flood in 2014. We employed global NWPs by three weather centers to consider forecast uncertainty and downscaled them using the Weather Research and Forecasting (WRF) Model to
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Selvarajah, Hemakanth, Toshio Koike, Mohamed Rasmy, et al. "Development of an Integrated Approach for the Assessment of Climate Change Impacts on the Hydro-Meteorological Characteristics of the Mahaweli River Basin, Sri Lanka." Water 13, no. 9 (2021): 1218. http://dx.doi.org/10.3390/w13091218.

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Climate change is increasingly sensed by nations vulnerable to water-related disasters, and governments are acting to mitigate disasters and achieve sustainable development. Uncertainties in General Circulation Models’ (GCM) rainfall projections and seamless long-term hydrological simulations incorporating warming effects are major scientific challenges in assessing climate change impacts at the basin scale. Therefore, the Data Integration and Analysis System (DIAS) of Japan and the Water Energy Budget-based Rainfall-Runoff-Inundation model (WEB-RRI) were utilized to develop an integrated appr
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7

KOBAYASHI, Kenichiro, Kaoru TAKARA, and Yuichiro OKU. "DEVELOPMENT OF AN INTEGRATED MODEL FOR RAINFALL-RUNOFF/FLOOD INUNDATION SIMULATION AND ECONOMIC LOSS ESTIMATNION FOCUSING ON SAYO TOWN, HYOGO, JAPAN." Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) 67, no. 4 (2011): I_949—I_954. http://dx.doi.org/10.2208/jscejhe.67.i_949.

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8

Saber, Mohamed, Karim I. Abdrabo, Omar M. Habiba, Sameh A. Kantosh, and Tetsuya Sumi. "Impacts of Triple Factors on Flash Flood Vulnerability in Egypt: Urban Growth, Extreme Climate, and Mismanagement." Geosciences 10, no. 1 (2020): 24. http://dx.doi.org/10.3390/geosciences10010024.

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Urban growth, extreme climate, and mismanagement are crucial controlling factors that affect flood vulnerability at wadi catchments. Therefore, this study attempts to understand the impacts of these three factors on the flash flood vulnerability in different climatic regions in Egypt. An integrated approach is presented to evaluate the urban growth from 1984 to 2019 by using Google Images and SENTINEL-2 data, and to develop hazard maps by using a rainfall-runoff-inundation model (RRI). Annual rainfall trend analysis was performed to evaluate the temporal variability trend. The hazard maps that
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9

Win, Shelly, Win Win Zin, and Akiyuki Kawasaki. "Development of Flood Damage Estimation Model for Agriculture – Case Study in the Bago Floodplain, Myanmar." Journal of Disaster Research 15, no. 3 (2020): 242–55. http://dx.doi.org/10.20965/jdr.2020.p0242.

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This paper introduces an integrated model that combines the Rainfall Runoff Inundation (RRI) and spatially distributed flood damage estimation models. There are three steps for fulfilling this purpose. The first step is the accomplishment of RRI model for the floodplain region. The second step is a questionnaire survey to analyze the economic damage to affected population and properties caused by the past flooding events; this step aims to estimate the different levels of agricultural damage cost. Finally, the economic flood damage estimation model was developed for the agricultural areas by u
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10

Ertan, Seda, and Rahmi Nurhan Çelik. "The Assessment of Urbanization Effect and Sustainable Drainage Solutions on Flood Hazard by GIS." Sustainability 13, no. 4 (2021): 2293. http://dx.doi.org/10.3390/su13042293.

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Rapid and uncontrolled changes in land use patterns due to urbanization negatively affect urban rainfall-runoff processes and flood hazard. In this study, a method that included different sustainable drainage solutions, such as green infrastructure (GI) usage for flood hazard mitigation with various scenarios on a geographic information system (GIS) platform within a 1653 ha catchment of the Kağıthane Stream in İstanbul, Turkey is presented. Developed scenarios are as follows: scenario one (SN1) is the current situation; scenario two (SN2) used green roof application for buildings and a permea
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11

Abdrabo, Karim I., Sameh A. Kantoush, Mohamed Saber, et al. "Integrated Methodology for Urban Flood Risk Mapping at the Microscale in Ungauged Regions: A Case Study of Hurghada, Egypt." Remote Sensing 12, no. 21 (2020): 3548. http://dx.doi.org/10.3390/rs12213548.

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Flood risk mapping forms the basis for disaster risk management and the associated decision-making systems. The effectiveness of this process is highly dependent on the quality of the input data of both hazard and vulnerability maps and the method utilized. On the one hand, for higher-quality hazard maps, the use of 2D models is generally suggested. However, in ungauged regions, such usage becomes a difficult task, especially at the microscale. On the other hand, vulnerability mapping at the microscale suffers limitations as a result of the failure to consider vulnerability components, the low
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12

Courty, Laurent Guillaume, Adrián Pedrozo-Acuña, and Paul David Bates. "Itzï (version 17.1): an open-source, distributed GIS model for dynamic flood simulation." Geoscientific Model Development 10, no. 4 (2017): 1835–47. http://dx.doi.org/10.5194/gmd-10-1835-2017.

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Abstract. Worldwide, floods are acknowledged as one of the most destructive hazards. In human-dominated environments, their negative impacts are ascribed not only to the increase in frequency and intensity of floods but also to a strong feedback between the hydrological cycle and anthropogenic development. In order to advance a more comprehensive understanding of this complex interaction, this paper presents the development of a new open-source tool named Itzï that enables the 2-D numerical modelling of rainfall–runoff processes and surface flows integrated with the open-source geographic info
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13

Li, Hu, Zheng, Shen, Fan, and Zhang. "An Improved Simplified Urban Storm Inundation Model Based on Urban Terrain and Catchment Modification." Water 11, no. 11 (2019): 2335. http://dx.doi.org/10.3390/w11112335.

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Flooding caused by unpredictable high-intensity rainfall events in urban areas has become a global phenomenon due to the combined effect of urbanization and climate change. There are numerous hydrodynamic models for urban flooding simulation and management. However, it is difficult for most of these models to simplify the surface runoff process and still provide high simulation accuracy. In this study, an improved simplified urban storm inundation model (SUSIM) that integrates urban terrain, precipitation, surface runoff and inundation models was proposed to quickly and accurately simulate the
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14

Matsumura, Takayoshi, Hiroshi Kamiya, and Naohiro Yoshida. "Effective Flood Control Through Integrated and Collaborative Dam Operation at Three Dams in the Upper Nabari River." Journal of Disaster Research 7, no. 5 (2012): 540–46. http://dx.doi.org/10.20965/jdr.2012.p0540.

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Heavy rain with Typhoon 18 threatened the Nabari River Basin, Kansai region, with inundation early on the morning of October 8, 2009. The Nabari River is a tributary of the Yodo river basin that contains Osaka and Kyoto and runs through Nabari City, which is a residential zone a commutable distance from Osaka city. In the upper reaches of the Nabari, there are three multipurpose dams – Shorenji Dam, Hinachi Dam, and Murou Dam – that are operated by the Kizugawa Integrated Dam Control and Management Office (KIDCMO), a branch office of the Japan Water Agency (JWA). Since it rained heavily downst
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15

Melo, Raquel, Theo van Asch, and José L. Zêzere. "Debris flow run-out simulation and analysis using a dynamic model." Natural Hazards and Earth System Sciences 18, no. 2 (2018): 555–70. http://dx.doi.org/10.5194/nhess-18-555-2018.

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Abstract. Only two months after a huge forest fire occurred in the upper part of a valley located in central Portugal, several debris flows were triggered by intense rainfall. The event caused infrastructural and economic damage, although no lives were lost. The present research aims to simulate the run-out of two debris flows that occurred during the event as well as to calculate via back-analysis the rheological parameters and the excess rain involved. Thus, a dynamic model was used, which integrates surface runoff, concentrated erosion along the channels, propagation and deposition of flow
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16

Dietrich, J., S. Trepte, Y. Wang, et al. "Combination of different types of ensembles for the adaptive simulation of probabilistic flood forecasts: hindcasts for the Mulde 2002 extreme event." Nonlinear Processes in Geophysics 15, no. 2 (2008): 275–86. http://dx.doi.org/10.5194/npg-15-275-2008.

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Abstract. Flood forecasts are essential to issue reliable flood warnings and to initiate flood control measures on time. The accuracy and the lead time of the predictions for head waters primarily depend on the meteorological forecasts. Ensemble forecasts are a means of framing the uncertainty of the potential future development of the hydro-meteorological situation. This contribution presents a flood management strategy based on probabilistic hydrological forecasts driven by operational meteorological ensemble prediction systems. The meteorological ensemble forecasts are transformed into disc
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17

Tamiru, Habtamu, and Meseret Wagari. "Machine-learning and HEC-RAS integrated models for flood inundation mapping in Baro River Basin, Ethiopia." Modeling Earth Systems and Environment, July 10, 2021. http://dx.doi.org/10.1007/s40808-021-01175-8.

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AbstractThis study presents an integrated machine-learning and HEC-RAS models for flood inundation mapping in Baro River Basin, Ethiopia. ANN and HEC-RAS models were integrated as a predictive hydrological and hydraulic model to generate runoff and the extent of flood, respectively. Daily rainfall and temperature data of 7-years (1999–2005), daily discharge (1999–2005) and 30 m × 30 m gridded Topographical Wetness Index (TWI) were used to train a predictive ANN hydrological model in RStudio. The predictive performance of the developed ANN hydrological model was evaluated in RStudio using Nash–
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18

Trinh, Manh Xuan, and Frank Molkenthin. "Flood hazard mapping for data-scarce and ungauged coastal river basins using advanced hydrodynamic models, high temporal-spatial resolution remote sensing precipitation data, and satellite imageries." Natural Hazards, June 16, 2021. http://dx.doi.org/10.1007/s11069-021-04843-1.

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AbstractThis paper presents an integrated approach to simulate flooding and inundation for small- and medium-sized coastal river basins where measured data are not available or scarce. By coupling the rainfall–runoff model, the one-dimensional and two-dimensional models, and the integration of these with global tide model, satellite precipitation products, and synthetic aperture radar imageries, a comprehensive flood modeling system for Tra Bong river basin selected as a case study was set up and operated. Particularly, in this study, the lumped conceptual model was transformed into the semi-d
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